Enterprise financial shared access traceability analysis method and system

Abstract

The invention provides an enterprise financial shared access traceability analysis method and system, and relates to the technical field of enterprise financial shared access traceability analysis, and the method comprises the steps: constructing an enterprise financial shared network, carrying out the information similarity analysis of shared information and access information, and determining a first information sharing corresponding party; generating a first sharing exclusive password and a first sharing exclusive code, performing first information sharing, performing first preset code segment disassembly and code segment similarity analysis on the first sharing exclusive code to obtain a first sharing similarity comparison result, and further obtaining second information sharing data; and performing similarity analysis on the to-be-evaluated exclusive codes to obtain target shared information, thereby realizing accurate identification and traceability of financial information circulation.

Description

Technical Field

[0001] This invention proposes a method and system for tracing and analyzing access to enterprise financial shared resources, which relates to the field of traceability analysis technology, specifically to the field of tracing and analyzing access to enterprise financial shared resources. Background Technology

[0002] In the process of sharing corporate financial data, problems such as low information exchange efficiency and unclear sharing links are common. In the traditional model, the connection between the sharing party and the access party often relies on manual matching, which is prone to information mismatch and lacks a unified identification system, making data traceability difficult. At the same time, financial information is scattered across various departments of the enterprise, forming information silos. The security mechanism during sharing is not perfect, and there is a risk of data leakage. Data integration lacks standardized processes, similar information is difficult to effectively aggregate, affecting information utilization, and it is impossible to accurately track the data flow path, making it difficult to accurately identify and trace the source of data leakage. Summary of the Invention

[0003] This invention provides a method and system for tracing and analyzing access to enterprise financial shared services, in order to solve the above-mentioned problems: This invention proposes a method and system for tracing and analyzing access to enterprise financial shared services, the method comprising: S1. Construct an enterprise financial sharing network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, conduct information similarity analysis of shared information and accessed information, and determine the first information sharing counterpart. S2. Generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterparty, perform first information sharing, perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, obtain the first sharing similarity comparison result, and then obtain the second information sharing data; S3. Perform a similarity analysis of the exclusive code to be evaluated based on the first shared exclusive code and / or the second shared exclusive code to obtain the target shared information.

[0004] Further, S1 includes: Obtain shared information from enterprise data sharing partners, and encrypt and transmit the shared information to the relay node; Obtain access information from enterprise data access parties and transmit the access information to relay nodes; A corporate financial sharing network is constructed by combining multiple corporate data sharing parties and multiple corporate data access parties with relay nodes. The relay node performs corresponding analysis on the shared information and access information to obtain corresponding analysis information.

[0005] Furthermore, the relay node performs corresponding analysis on the shared information and access information to obtain corresponding analysis information, including: Obtain the information similarity between the shared information and the access information, compare the information similarity with a preset information similarity threshold, and obtain the information similarity comparison result; Based on the information similarity comparison results, determine the similar enterprise data sharing parties and similar enterprise data access parties corresponding to the similar shared information and similar access information; By matching the data sharing parties and data access parties of similar enterprises, multiple first information sharing counterparts are obtained.

[0006] Further, S2 includes: Based on the corresponding analysis information of each first information sharing counterpart, generate a first sharing exclusive password and a first sharing exclusive code for each information sharing counterpart; First information sharing is performed based on the first shared exclusive password and the first shared exclusive code to obtain first information sharing data; A similarity analysis was performed on all first-shared proprietary codes to obtain the first-shared similarity comparison results; Based on the first shared similarity comparison result, the first information shared data is integrated to obtain the second information shared data.

[0007] Further, the step of generating a first sharing exclusive password and a first sharing exclusive code for each information sharing counterpart based on the corresponding analysis information of each first information sharing counterpart includes: The sharing party code and access party code are set by sharing the first information with the corresponding party; Set the sharing transmission code according to the sharing information of the enterprise data sharing party; Set the first shared exclusive code by using the shared party code, shared sending code, and access party code.

[0008] Furthermore, a similarity analysis is performed on all first-shared proprietary codes to obtain the first-shared similarity comparison results, including: According to the preset coding type, the first shared exclusive coding is decomposed into a first preset coding segment to obtain multiple first exclusive coding segment information; Obtain the mutual coding segment similarity between each first exclusive coding segment of each first information sharing data and the corresponding first exclusive coding segment of other first information sharing data; The mutual coding segment similarity is compared with a preset coding segment similarity threshold to obtain the coding segment similarity comparison result; Based on the similarity comparison results of the coding segments, at least two similar information sharing data corresponding to similar coding segments are determined; Obtain the ratio of the number of similar coding segments to the number of dissimilar coding segments in the at least two sets of shared similar information data to obtain the coding similarity ratio; The encoded similarity ratio is compared with a preset similarity ratio threshold to obtain a first shared similarity comparison result.

[0009] Further, the first information sharing data is integrated based on the first shared similarity comparison result to obtain second information sharing data, including: When the coding similarity ratio is greater than the preset similarity ratio threshold, the multiple similar information sharing data corresponding to the similar coding segments corresponding to the coding similarity ratio are integrated to obtain the second information sharing data; Obtain similar information sharing data corresponding to the second information sharing data to generate an integrated sharing counterpart; A second shared exclusive password and a second shared exclusive code are generated based on the integrated sharing counterpart; The second information is shared based on the second shared exclusive password and the second shared exclusive code, and the second information sharing data is obtained.

[0010] Further, generating a second shared exclusive password and a second shared exclusive code based on the integrated sharing counterpart includes: Obtain the first shared exclusive code of multiple similar information sharing data from the integrated sharing counterpart; Based on the first shared-specific changes of multiple similar information shared data, obtain multiple sharing party codes, access party codes, and shared sending codes; Integrate shared party coding by setting up multiple shared party coding settings; Set up an integrated access party code using multiple access party codes; Set up airport shared transmission codes using multiple shared transmission codes; The second shared exclusive code is set by integrating the shared party code, the integrated access party code, and the integrated shared sending code.

[0011] Furthermore, S3 includes: Obtain the first shared exclusive code and / or the second shared exclusive code by acquiring access information of the relay node's shared information; Obtain the exclusive code to be evaluated, calculate the similarity between the exclusive code to be evaluated and the first shared exclusive code and / or the second shared exclusive code, and obtain the classification code similarity. The classification code similarity is compared with a preset classification code similarity threshold to obtain the classification code comparison result; The target shared information is determined based on the comparison results of the classification codes.

[0012] Furthermore, the system includes: The shared access analysis module is used to construct an enterprise financial shared network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, and to conduct information similarity analysis of shared information and access information to determine the first information sharing counterpart. An integrated analysis module is used to generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterpart, to perform first information sharing, to perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, to obtain the first sharing similarity comparison result, and then to obtain the second information sharing data; The anomaly analysis module is used to perform similarity analysis of the proprietary code to be evaluated based on the first shared proprietary code and / or the second shared proprietary code to obtain the target shared information.

[0013] The beneficial effects of this invention are as follows: By constructing a network and using similarity analysis to identify corresponding parties, precise matching of internal financial information within enterprises is achieved, reducing information silos. Exclusive passwords and codes ensure the security and uniqueness of information sharing, facilitating identification and management. Code decomposition and similarity analysis improve data integration efficiency and accuracy, enhancing information relevance and integrity. Comparison of the code to be evaluated with existing codes enables precise traceability of shared information, allowing for tracking of information flow paths and enhancing information traceability. The overall process standardizes the financial information sharing process, improves information management efficiency, and provides reliable support for the secure sharing and traceability of financial data. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of a method for tracing the source of access to enterprise financial shared services. Detailed Implementation

[0015] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0016] In one embodiment of the present invention, a method and system for tracing and analyzing access to enterprise financial shared services are proposed, the method comprising: S1. Construct an enterprise financial sharing network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, conduct information similarity analysis of shared information and accessed information, and determine the first information sharing counterpart. S2. Generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterparty, perform first information sharing, perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, obtain the first sharing similarity comparison result, and then obtain the second information sharing data; S3. Perform a similarity analysis of the proprietary code to be evaluated based on the first shared proprietary code and / or the second shared proprietary code to obtain the target shared information, such as... Figure 1 As shown. The specific code to be evaluated is the shared information that needs to be evaluated and traced, and the target shared information is the shared information after evaluation and traceability.

[0017] The working principle and technical effects of the above technical solution are as follows: A financial sharing network is constructed through enterprise data sharing parties, access parties, and relay nodes. The similarity between shared information and accessed information is analyzed to determine the first information sharing counterpart. A first sharing exclusive password and code are generated for the counterpart. After information sharing, the code is decomposed and the similarity of the code segments is analyzed to obtain the first sharing similarity comparison result, and then the second information sharing data is integrated. The exclusive code to be evaluated (the shared information that needs to be traced) is compared with the first and second sharing exclusive codes to determine the target shared information (the traced shared information), thus realizing access traceability. By constructing networks and using similarity analysis to identify counterparties, precise matching of internal financial information is achieved, reducing information silos. Exclusive passwords and codes ensure the security and uniqueness of information sharing, facilitating identification and management. Code decomposition and similarity analysis improve data integration efficiency and accuracy, enhancing information relevance and completeness. Comparison of codes to be evaluated with existing codes enables precise traceability of shared information, allowing for tracking of information flow paths and enhancing information traceability. The overall process standardizes the financial information sharing process, improves information management efficiency, and provides reliable support for the secure sharing and traceability of financial data.

[0018] In one embodiment of the present invention, S1 includes: Obtain shared information from enterprise data sharing partners, and encrypt and transmit the shared information to the relay node; Obtain access information from enterprise data access parties and transmit the access information to relay nodes; the sharing party and the access party are generally within the same enterprise; A corporate financial sharing network is constructed by combining multiple corporate data sharing parties and multiple corporate data access parties with relay nodes. The relay node performs corresponding analysis on the shared information and access information to obtain corresponding analysis information.

[0019] The working principle and technical effects of the above solution are as follows: Multiple data sharing parties within an enterprise encrypt and transmit shared financial information to a relay node, while data access parties send their financial access information to the same relay node. The relay node, acting as the core hub, receives and stores the encrypted shared information from the sharing parties and the access requests from the access parties. By constructing an internal financial sharing network, it achieves information exchange between the sharing parties and the access parties. The relay node performs corresponding analysis on the two types of information, matching the access requests with the permissions and content relevance of the shared data, generating corresponding analysis information to ensure that the access parties obtain compliant financial data as needed.

[0020] Encrypted transmission ensures the security of financial information during sharing, preventing data leaks. Centralized processing by relay nodes reduces the complexity of internal financial data interaction and improves information sharing efficiency. The network architecture design for sharing and accessing parties within the same enterprise strengthens the synergy of internal data flow and reduces information silos. Multi-node network construction enhances the scalability of financial data sharing, adapting to the needs of enterprise growth. Corresponding analysis mechanisms ensure the accuracy and compliance of data access, meeting business needs while mitigating the risk of unauthorized access.

[0021] In one embodiment of the present invention, the relay node performs a corresponding analysis on shared information and access information to obtain corresponding analysis information, including: The information similarity between the shared information and the access information is obtained, and the information similarity is compared with a preset information similarity threshold to obtain the information similarity comparison result; the similarity can be calculated using existing formulas such as Euclidean distance.

[0022] Based on the information similarity comparison results, determine the similar enterprise data sharing parties and similar enterprise data access parties corresponding to the similar shared information and similar access information; By matching the data sharing parties and data access parties of similar enterprises, multiple first information sharing counterparts are obtained.

[0023] The working principle and technical effect of the above solution are as follows: After receiving the encrypted sharing information from the enterprise data sharing party and the access information from the access party, the relay node first calculates the information similarity between the two, using formulas such as Euclidean distance to quantify the degree of matching. The calculation result is compared with a preset similarity threshold to obtain the information similarity comparison result. Based on this result, similar sharing information and access information are filtered out to determine the corresponding similar sharing parties and access parties. Then, these similar entities are matched accordingly, ultimately obtaining multiple first information sharing counterparts and completing the accurate information connection. Similarity is calculated using methods such as Euclidean distance, improving the objectivity and accuracy of information matching and avoiding subjective biases inherent in manual matching. Preset thresholds ensure the standardization of similar information filtering and reduce invalid matches. Precise matching of similar entities enables efficient communication between sharing parties and users, accelerating information flow. Information correspondence analysis within the same enterprise strengthens the targeting of internal data sharing, improves the efficiency of financial information utilization, and ensures the orderly and effective exchange of information. In one embodiment of the present invention, S2 includes: Based on the corresponding analysis information of each first information sharing counterpart, a first sharing exclusive password and a first sharing exclusive code are generated for each information sharing counterpart; the password is generated randomly. First information sharing is performed based on the first shared exclusive password and the first shared exclusive code to obtain first information sharing data; A similarity analysis was performed on all first-shared proprietary codes to obtain the first-shared similarity comparison results; Based on the first shared similarity comparison result, the first information shared data is integrated to obtain the second information shared data.

[0024] The working principle and technical effect of the above technical solution are as follows: A random first-shared exclusive password and a unique first-shared exclusive code are generated for each first information sharing counterpart. First information sharing is achieved using these two codes, and first information sharing data is obtained. Similarity analysis is performed on all first-shared exclusive codes to obtain first-shared similarity comparison results. Based on these results, first information sharing data with similar codes are integrated to form second information sharing data. Randomly generated unique passwords enhance the security of information sharing and reduce the risk of data leakage. Unique coding ensures the uniqueness of each corresponding party, facilitating accurate identification and management. The sharing method based on passwords and coding guarantees the standardization and controllability of information interaction. Similarity analysis of the codes and data integration enable the aggregation of similar information, improving data integrity and relevance, while also increasing data processing efficiency and reducing information redundancy. In one embodiment of the present invention, generating a first shared exclusive password and a first shared exclusive code for each information sharing counterpart based on the corresponding analysis information of each first information sharing counterpart includes: The sharing party code and access party code are set by sharing the first information with the corresponding party; Set the sharing transmission code according to the sharing information of the enterprise data sharing party; Set the first shared exclusive code by using the shared party code, shared sending code, and access party code.

[0025] Each individual code contains unique numbers that distinguish it from other types of codes, usually around three.

[0026] The same sharing party uses the same sharing party code, the same access party uses the same access party code, and different shared information uses different shared sending codes.

[0027] The working principle and technical effect of the above technical solution are as follows: When generating a unique password and code for each first information sharing counterpart, the password is randomly generated. Code generation requires first setting a unified sharing party code for the same sharing party, a unified access party code for the same access party, and different sharing transmission codes for different shared information. Each independent code contains approximately three unique numbers to distinguish the type. Then, the sharing party code, sharing transmission code, and access party code are combined to form the unique first sharing code. Random passwords ensure secure information sharing and reduce the risk of unauthorized access. Unique numbers differentiate coding types, preventing confusion and improving coding recognition efficiency. A unified coding system for the same entity facilitates quick identification of the sharing party and the access party; different shared information corresponds to different sending codes, enabling precise information traceability. Combined coding methods balance the uniformity of the entity with the differences in information, ensuring a standardized and controllable sharing process while improving data management efficiency and accuracy.

[0028] In one embodiment of the present invention, a similarity analysis is performed on all first shared proprietary codes to obtain a first shared similarity comparison result, including: According to the preset coding type, the first shared exclusive coding is decomposed into a first preset coding segment to obtain multiple first exclusive coding segment information; The preset encoding types include sharing party encoding, access party encoding, and shared transmission encoding, etc. Obtain the mutual coding segment similarity between each first exclusive coding segment information of each first information sharing data and the corresponding first exclusive coding segment information of other first information sharing data; the mutual coding segment similarity is the similarity between the first exclusive coding segment information of any two first information sharing data.

[0029] The mutual coding segment similarity is compared with a preset coding segment similarity threshold to obtain the coding segment similarity comparison result; Based on the similarity comparison results of the coding segments, at least two similar information sharing data corresponding to similar coding segments are determined; Acquire the first information sharing data corresponding to similar coding segments whose mutual coding segment similarity is greater than a preset coding segment similarity threshold; Obtain the ratio of the number of similar coding segments to the number of dissimilar coding segments in the at least two sets of shared similar information data to obtain the coding similarity ratio; The encoded similarity ratio is compared with a preset similarity ratio threshold to obtain a first shared similarity comparison result.

[0030] The working principle and technical effect of the above technical solution are as follows: When performing similarity analysis on all first shared exclusive codes, multiple first exclusive code segments are first decomposed according to preset categories such as sharing party code, access party code, and shared sending code. The mutual code segment similarity between any two first information sharing data corresponding to code segments is calculated and compared with a preset code segment similarity threshold to filter out the information sharing data corresponding to similar code segments. Then, the ratio of the number of similar code segments to the number of dissimilar code segments of these data is calculated, which is the code similarity ratio. This ratio is compared with a preset similarity ratio threshold to obtain the first shared similarity comparison result. By breaking down and analyzing data according to coding type, a refined similarity judgment is achieved, improving the accuracy of the analysis. Multi-dimensional threshold comparisons ensure the objectivity and standardization of similar data selection, reducing misjudgments. The calculation of the coding similarity ratio comprehensively considers the overall similarity, avoiding the influence of a single coding segment on the results and enhancing the comprehensiveness of the analysis. This improves the efficiency and accuracy of data integration, ensuring the effective aggregation of similar information.

[0031] In one embodiment of the present invention, integrating first information sharing data based on the first shared similarity comparison result to obtain second information sharing data includes: When the coding similarity ratio is greater than the preset similarity ratio threshold, the multiple similar information sharing data corresponding to the similar coding segments corresponding to the coding similarity ratio are integrated to obtain the second information sharing data; Obtain similar information sharing data corresponding to the second information sharing data to generate an integrated sharing counterpart; A second shared exclusive password and a second shared exclusive code are generated based on the integrated sharing counterpart; The second information is shared based on the second shared exclusive password and the second shared exclusive code, and the second information sharing data is obtained.

[0032] The working principle and technical effect of the above technical solution are as follows: Based on the first shared similarity comparison result, when the coding similarity ratio is greater than the preset similarity ratio threshold, multiple similar information sharing data corresponding to similar coding segments are integrated to form second information sharing data. Then, the corresponding similar information sharing data is determined, an integrated sharing counterpart is generated, and a second shared exclusive password and code are generated for it. Based on these two, second information sharing is performed to obtain the final second information sharing data. By filtering and integrating data through coding similarity ratios, the integrated second-level information sharing data is ensured to have high relevance, improving the quality of data aggregation. Unique passwords and codes are generated for each participating party in the integration and sharing process, guaranteeing the security and uniqueness of the secondary sharing and facilitating data traceability and management. This secondary sharing mechanism enables the effective flow of integrated data, enhancing information reusability and sharing efficiency. The overall process transforms scattered, similar data into an organic whole, reducing data redundancy.

[0033] In one embodiment of the present invention, generating a second shared exclusive password and a second shared exclusive code based on the integrated sharing counterparty includes: Obtain the first shared exclusive code of multiple similar information sharing data from the integrated sharing counterpart; Based on the first shared-specific changes of multiple similar information shared data, obtain multiple sharing party codes, access party codes, and shared sending codes; Integrate shared party coding by setting up multiple shared party coding settings; Set up an integrated access party code using multiple access party codes; Set up airport shared transmission codes using multiple shared transmission codes; The second shared exclusive code is set by integrating the shared party code, the integrated access party code, and the integrated shared sending code.

[0034] The working principle and technical effect of the above technical solution are as follows: When generating the second shared exclusive password and code, the password is generated randomly. Code generation requires first obtaining the first shared exclusive code of multiple similar information sharing data from the corresponding integrated sharing parties, and extracting multiple sharing party codes, access party codes, and shared sending codes from them. These codes are then integrated to set the integrated sharing party code, integrated access party code, and integrated shared sending code. Finally, these three types of integrated codes are combined into the second shared exclusive code. Randomly generated passwords ensure the security of secondary information sharing and reduce the risk of data leakage. Extracting and integrating relevant codes from the existing first-shared exclusive code to generate a second-shared exclusive code ensures the correlation and inheritance between the code and the original data, facilitating the tracing of information sources. The integrated coding method takes into account the characteristics of multiple similar shared data sets, enabling the second-shared exclusive code to accurately represent the integrated information, improving the identification efficiency and sharing standardization after data integration, and further ensuring the orderly nature of information interaction.

[0035] In one embodiment of the present invention, S3 includes: Obtain the first shared exclusive code and / or the second shared exclusive code by acquiring access information of the relay node's shared information; Obtain the exclusive code to be evaluated, calculate the similarity between the exclusive code to be evaluated and the first shared exclusive code and / or the second shared exclusive code, and obtain the classification code similarity. The classification code similarity is compared with a preset classification code similarity threshold to obtain the classification code comparison result; The target shared information is determined based on the comparison results of the classification codes.

[0036] The working principle and technical effect of the above technical solution are as follows: A first shared exclusive code and / or a second shared exclusive code are extracted from the shared information and access information of the relay nodes. After obtaining the exclusive code to be evaluated, its similarity with the extracted code is calculated to obtain the classification code similarity. This similarity is compared with a preset classification code similarity threshold to obtain the classification code comparison result, thereby determining the corresponding target shared information. By extracting existing proprietary codes as comparison benchmarks, a clear reference is provided for codes to be evaluated, ensuring consistent classification standards. Calculating similarity and combining it with threshold judgments enables precise positioning of target shared information, reducing errors from manual screening. This process leverages code association to quickly match information, improving information retrieval efficiency, ensuring the accuracy and relevance of target shared information, facilitating rapid acquisition of required information, and enhancing the systematic nature of information management.

[0037] According to one embodiment of the present invention, the system includes: The shared access analysis module is used to construct an enterprise financial shared network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, and to conduct information similarity analysis of shared information and access information to determine the first information sharing counterpart. An integrated analysis module is used to generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterpart, to perform first information sharing, to perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, to obtain the first sharing similarity comparison result, and then to obtain the second information sharing data; The anomaly analysis module is used to perform similarity analysis of the proprietary code to be evaluated based on the first shared proprietary code and / or the second shared proprietary code to obtain the target shared information.

[0038] The working principle and technical effects of the above technical solution are as follows: A financial sharing network is constructed through enterprise data sharing parties, access parties, and relay nodes. The similarity between shared information and accessed information is analyzed to determine the first information sharing counterpart. A first sharing exclusive password and code are generated for the counterpart. After information sharing, the code is decomposed and the similarity of the code segments is analyzed to obtain the first sharing similarity comparison result, and then the second information sharing data is integrated. The exclusive code to be evaluated (the shared information that needs to be traced) is compared with the first and second sharing exclusive codes to determine the target shared information (the traced shared information), thus realizing access traceability. By constructing networks and using similarity analysis to identify counterparties, precise matching of internal financial information is achieved, reducing information silos. Exclusive passwords and codes ensure the security and uniqueness of information sharing, facilitating identification and management. Code decomposition and similarity analysis improve data integration efficiency and accuracy, enhancing information relevance and completeness. Comparison of codes to be evaluated with existing codes enables precise traceability of shared information, allowing for tracking of information flow paths and enhancing information traceability. The overall process standardizes the financial information sharing process, improves information management efficiency, and provides reliable support for the secure sharing and traceability of financial data.

[0039] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for tracing and analyzing access to enterprise financial shared services, characterized in that, The method includes: S1. Construct an enterprise financial sharing network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, conduct information similarity analysis of shared information and accessed information, and determine the first information sharing counterpart. S2. Generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterparty, perform first information sharing, perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, obtain the first sharing similarity comparison result, and then obtain the second information sharing data; S3. Perform a similarity analysis of the exclusive code to be evaluated based on the first shared exclusive code and / or the second shared exclusive code to obtain the target shared information.

2. The enterprise financial shared access tracing analysis method according to claim 1, characterized in that, S1 includes: Obtain shared information from enterprise data sharing partners, and encrypt and transmit the shared information to the relay node; Obtain access information from enterprise data access parties and transmit the access information to relay nodes; A corporate financial sharing network is constructed by combining multiple corporate data sharing parties and multiple corporate data access parties with relay nodes. The relay node performs corresponding analysis on the shared information and access information to obtain corresponding analysis information.

3. The enterprise financial shared access tracing analysis method according to claim 2, characterized in that, The relay node performs corresponding analysis on the shared information and access information to obtain corresponding analysis information, including: Obtain the information similarity between the shared information and the access information, compare the information similarity with a preset information similarity threshold, and obtain the information similarity comparison result; Based on the information similarity comparison results, determine the similar enterprise data sharing parties and similar enterprise data access parties corresponding to the similar shared information and similar access information; By matching the data sharing parties and data access parties of similar enterprises, multiple first information sharing counterparts are obtained.

4. The enterprise financial shared access tracing analysis method according to claim 1, characterized in that, S2 includes: Based on the corresponding analysis information of each first information sharing counterpart, generate a first sharing exclusive password and a first sharing exclusive code for each information sharing counterpart; First information sharing is performed based on the first shared exclusive password and the first shared exclusive code to obtain first information sharing data; A similarity analysis was performed on all first-shared proprietary codes to obtain the first-shared similarity comparison results; Based on the first shared similarity comparison result, the first information shared data is integrated to obtain the second information shared data.

5. The enterprise financial shared access tracing analysis method according to claim 4, characterized in that, The step of generating a first shared exclusive password and a first shared exclusive code for each information sharing counterpart based on the corresponding analysis information of each first information sharing counterpart includes: The sharing party code and access party code are set by sharing the first information with the corresponding party; Set the sharing transmission code according to the sharing information of the enterprise data sharing party; Set the first shared exclusive code by using the shared party code, shared sending code, and access party code.

6. The enterprise financial shared access tracing analysis method according to claim 4, characterized in that, A similarity analysis was performed on all first-shared proprietary codes to obtain the first-shared similarity comparison results, including: According to the preset coding type, the first shared exclusive coding is decomposed into a first preset coding segment to obtain multiple first exclusive coding segment information; Obtain the mutual coding segment similarity between each first exclusive coding segment of each first information sharing data and the corresponding first exclusive coding segment of other first information sharing data; The mutual coding segment similarity is compared with a preset coding segment similarity threshold to obtain the coding segment similarity comparison result; Based on the similarity comparison results of the coding segments, at least two similar information sharing data corresponding to similar coding segments are determined; Obtain the ratio of the number of similar coding segments to the number of dissimilar coding segments in the at least two sets of shared similar information data to obtain the coding similarity ratio; The encoded similarity ratio is compared with a preset similarity ratio threshold to obtain a first shared similarity comparison result.

7. The enterprise financial shared access tracing analysis method according to claim 4, characterized in that, Based on the first shared similarity comparison result, the first information sharing data is integrated to obtain the second information sharing data, including: When the coding similarity ratio is greater than the preset similarity ratio threshold, the multiple similar information sharing data corresponding to the similar coding segments corresponding to the coding similarity ratio are integrated to obtain the second information sharing data; Obtain similar information sharing data corresponding to the second information sharing data to generate an integrated sharing counterpart; A second shared exclusive password and a second shared exclusive code are generated based on the integrated sharing counterpart; The second information is shared based on the second shared exclusive password and the second shared exclusive code, and the second information sharing data is obtained.

8. The enterprise financial shared access tracing analysis method according to claim 7, characterized in that, The second shared exclusive password and the second shared exclusive code are generated according to the integrated sharing counterpart, including: Obtain the first shared exclusive code of multiple similar information sharing data from the integrated sharing counterpart; Based on the first shared-specific changes of multiple similar information shared data, obtain multiple sharing party codes, access party codes, and shared sending codes; Integrate shared party coding by setting up multiple shared party coding settings; Set up an integrated access party code using multiple access party codes; Set up airport shared transmission codes using multiple shared transmission codes; The second shared exclusive code is set by integrating the shared party code, the integrated access party code, and the integrated shared sending code.

9. The enterprise financial shared access tracing analysis method according to claim 1, characterized in that, S3 includes: Obtain the first shared exclusive code and / or the second shared exclusive code by acquiring access information of the relay node's shared information; Obtain the exclusive code to be evaluated, calculate the similarity between the exclusive code to be evaluated and the first shared exclusive code and / or the second shared exclusive code, and obtain the classification code similarity. The classification code similarity is compared with a preset classification code similarity threshold to obtain the classification code comparison result; The target shared information is determined based on the comparison results of the classification codes.

10. A system for tracing and analyzing access to enterprise financial shared services, characterized in that, The system includes: The shared access analysis module is used to construct an enterprise financial shared network by combining enterprise data sharing parties and enterprise data access parties with relay nodes, and to conduct information similarity analysis of shared information and access information to determine the first information sharing counterpart. An integrated analysis module is used to generate a first sharing exclusive password and a first sharing exclusive code for the first information sharing counterpart, to perform first information sharing, to perform first preset code segment decomposition and code segment similarity analysis on the first sharing exclusive code, to obtain the first sharing similarity comparison result, and then to obtain the second information sharing data; The anomaly analysis module is used to perform similarity analysis of the proprietary code to be evaluated based on the first shared proprietary code and / or the second shared proprietary code to obtain the target shared information.

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